Developer builds offline AI career advisor using Gemma 4

A computer science instructor developed an offline AI career advisor named GuidanceOS, designed to run entirely on a local GPU without internet access. The system utilizes Google's Gemma 4 model, specifically the `gemma-4-e4b-it` variant, which was loaded using 4-bit quantization to fit within 15GB of VRAM. For matching user skills to jobs and courses, the advisor employs a TF-IDF index built from over 130,000 LinkedIn job postings and Coursera course records, ensuring fast and reproducible results. AI

影响 Demonstrates practical application of smaller LLMs for specialized, offline tools.

排序理由 The article describes a personal project using an existing model for a specific application, not a new model release or significant industry event.

在 dev.to — LLM tag 阅读 →

• Coursera
• Google
• GuidanceOS
• Hugging Face Transformers
• Kaggle
• LinkedIn
• T4 GPU
• Gemma 4

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